Create data_collection.py

data_collection.py

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+'''
+This is an example of how the data was collected for a large subreddit (post level).
+'''
+
+import pandas as pd
+import json
+
+master_df = pd.DataFrame()
+path = '/content/drive/MyDrive/project 1 data (sta 663)/The_Donald/'
+chunks = []
+for i in range(1,9):
+  chunks.append(path + 'The_Donald_submissions.00' + str(i))
+
+# chunks = ["/content/drive/MyDrive/project 1 data (sta 663)/The_Donald"]
+
+# read line by line
+for chunk in chunks:
+    data = []
+    with open(chunk, 'r') as file:
+        for line in file:
+            try:
+                # Parse the JSON line and append to the list
+                data.append(json.loads(line))
+            except json.JSONDecodeError as e:
+                # Output the error and skip this line
+                print(f"Error decoding JSON: {e}") # usually due to post deletion or incorrect type
+
+    df = pd.DataFrame(data)
+
+    # 'created_utc' to a datetime column
+    df['created_utc'] = pd.to_datetime(df['created_utc'], unit='s')
+
+    # extract the year from the 'created_utc' column
+    df['year'] = df['created_utc'].dt.year
+
+    # filtering the years for 2014 to the current year
+    df_filtered = df[(df['year'] >= 2014)]
+
+    master_df = pd.concat([master_df, df_filtered])
+
+# can sort and get the top 100 posts per year by score
+master_df_sorted = master_df.sort_values(by=['year', 'score'], ascending=[True, False])
+top_posts_per_year = master_df_sorted.groupby('year').head(100)